Senior Robotics Data Engineer

Job Summary The Senior Robotics Data Engineer supports large-scale robotics initiatives by designing and implementing end-to-end data systems that enable generalized and scalable AI perception and grasping models. This role is part of an advanced development team focused on powering robotics capabilities through real-world and simulated data workflows. The engineer will build and maintain robotic data pipelines, support high-throughput data capture, enable annotation and synthetic data generation processes, and manage datasets used for training and evaluating AI models across diverse manufacturing contexts. Key Responsibilities Design and implement scalable data pipelines for large-scale robotic datasets, including vision, depth, tactile, and force/torque data. Build infrastructure to support high-throughput data capture from real robots and simulation environments. Develop and deploy semi-supervised or self-supervised data labeling workflows to reduce manual annotation costs. Enable simulation-to-real (Sim2Real) workflows through domain randomization and synthetic data generation. Own data versioning, metadata management, and dataset governance to support model training, evaluation, and regression testing. Collaborate with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs. Support lifecycle management of multimodal robotic datasets. Required Qualifications 3+ years of experience in data engineering, machine learning systems, robotics, or related fields. Masters degree in Engineering, Computer Science, Data Science, or equivalent practical experience. Experience building production-grade data pipelines for ML/AI systems. Strong hands-on experience with Python-based data tooling. Experience working with large, complex, multimodal datasets. Strong systems-thinking mindset and cross-functional collaboration skills. Preferred Qualifications Experience supporting robotics perception, grasping, or manipulation AI. Familiarity with robotics simulation platforms such as Isaac Sim and synthetic data generation workflows. Experience working with large-scale annotation tools and data labeling pipelines. Education: Bachelors Degree